Kubernetes Jobs in United Arab Emirates.
All active Kubernetes roles based in United Arab Emirates.
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Software Engineer, Platform - Abu Dhabi, United Arab Emirates
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The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.
This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.
We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.
Our interview process involves several technical interviews and we aim to complete them within 1 week.
What You’ll Do
- Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
- Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
- Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
- Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience
An Ideal Candidate Should Have
- Proven experience in backend development: TS/Node (required)
- Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
- Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
- Preferred: Experience with Docker and containerized deployments
- Preferred: Proficiency in deploying high availability applications on Kubernetes
What We Offer
- A dynamic environment where your contributions shape the company and its products
- A team that values innovation, intuition, and drive
- Autonomy, fostering focus and creativity
- The opportunity to have a significant impact in a revolutionary industry
- Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
- The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
- An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain
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Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
About Us
Tamara is the leading fintech platform in Saudi Arabia and the wider GCC region with a mission to help people make their dreams come true by building the most customer-centric financial super-app on earth. The company serves millions of users in the region and partners with leading global and regional brands such as SHEIN, Jarir, noon, IKEA and Amazon, as well as small and medium businesses.
Tamara is Saudi Arabia’s first fintech unicorn and is backed by Sanabil Investments, a wholly owned company by the Public Investment Fund (PIF), SNB Capital, Checkout.com, amongst others. The company operates from its headquarters in Riyadh, with additional regional and global support offices.
Your Role
We are looking for a Senior Machine Learning Engineer (MLE) to join our Risk Data Science team. You will play a key role in designing, building, deploying, and scaling ML models that drive credit risk, fraud prevention, behavioral scoring, and other risk-related decision systems across our business.
You will work closely with data scientists, risk analysts, and engineering teams to transform research prototypes into high-performance, production-grade solutions that operate at scale in real-time decisioning environments.
Your Responsibilities
Model Deployment & Scaling
- Productionise risk and fraud models developed by the DS team using robust, efficient, and maintainable architectures
- Design low-latency, high-availability APIs and pipelines for real-time model inference.
- Implement batch scoring systems for periodic risk assessments.=
MLOps & Infrastructure
- Build and maintain CI/CD pipelines for model deployment and monitoring.
- Set up automated feature engineering pipelines, leveraging feature stores.
- Ensure model governance: reproducibility, versioning, auditability, and compliance with regulatory requirements.
Model Monitoring & Maintenance
- Implement real-time and batch monitoring for data drift, concept drift, and model performance.
- Build automated retraining workflows and model rollback mechanisms.
Collaboration with Risk DS
- Work closely with risk data scientists to translate experimental code (Python, notebooks) into production-grade services.
- Advise DS on efficient model architectures for operational environments.
- Optimize feature computation for speed and scalability.
System Design & Integration
- Integrate models with credit underwriting, fraud detection, collections, and merchant risk systems.
- Collaborate with backend engineering to align on API contracts and system interfaces.
Your Expertise
- 6+ years of experience as an MLE, ML Engineer, Mlops Developer.
- Strong Python skills (including Pandas, NumPy, scikit-learn, PySpark, FastAPI/Flask).
- Proficiency in distributed computing frameworks (Spark, Ray) and workflow orchestration tools (Airflow, Prefect).
- Experience with MLOps tools (MLflow, SageMaker, Vertex AI, or similar).
- Strong understanding of model deployment in cloud environments (AWS/GCP/Azure).
- Solid knowledge of microservice architecture, containerization (Docker), and orchestration (Kubernetes).
- Proven track record of deploying and maintaining ML models in production at scale.
- Experience in building and integrating with real-time streaming systems (Kafka, Kinesis, Pub/Sub).
All qualified individuals are encouraged to apply.
Ready to apply?
Apply to Tamara
Sales Systems Engineer - Dubai
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Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
Responsibilities:
- Collaborate with the sales team to secure and expand business with new and existing end-user customers, Cloud, and Hosting Providers.
- Conduct web-based and on-site demonstrations of the Veeam product portfolio, providing training, enablement, and participating in joint meetings.
- Offer pre-sales support and on-site assistance to customers during their evaluation of Veeam software.
- Build and maintain strong relationships with customers and strategic alliance partners in coordination with sales colleagues.
- Contribute to and participate in Veeam marketing events.
- Conduct Product Proof of Concepts (POCs) for customers.
- Prepare Bills of Materials (B.O.M), RFPs/RFQs based on customer needs.
- Demonstrate new technologies and provide training to internal staff and customers.
- Independently identify and qualify business opportunities.
- Provide technical compliance and competitive analysis of products within the solution.
- Possess hands-on experience in Hypervisors and Cloud environments.
- Coordinate presales efforts with customers, working with Veeam Solution Architects, System Integrators, and Professional Services figures.
Expectations:
- Ability to engage in business conversations with relevant stakeholders, including C-Level executives.
- minimum 5 years of experience working as System Engineer.
- Advise customers on their future business strategy and ensure a positive customer experience on assigned accounts.
- Excellent written and verbal communication skills in English and Arabic.
- Comfortable presenting to groups, both remotely and in-person.
- Expected 50% travel.
- Self-starter with the ability to quickly learn new technologies.
- Client interaction for requirement gathering and understanding existing infrastructure.
- Knowledge in Vmware, Nutanix AHV, RedHat, and Microsoft virtualization technologies in large environments.
- Familiarity with Microsoft Azure and AWS; ability to discuss and position Cloud technologies.
Advantages:
- VMCE certification is beneficial; employees can obtain VMCE and VMCA after starting the job.
- Knowledge in Kubernetes technologies platforms is an advantage.
- Knowledge in DBs (Oracle, SQL, DB2, SAP) is an advantage.
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Understanding of data and privacy and security standards such as GDPR, CCPA/CPRA, NIST 800-53, ISO 27001, HIPAA, PCI-DSS, PDPL, NDMO, NCA, SAMA.
Familiarity with data security frameworks including DSPM (Data Security Posture Management) .
We Offer:
- Modern, energetic working environment.
- Opportunities for professional growth and promotion.
- Competitive salary based on skills and expertise.
- Flexible working hours and home office/hybrid mode.
- Veeam Care Days – an additional 24 hours for volunteering activities.
#LI-ZA1
Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.
The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.
By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.
By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.
Ready to apply?
Apply to Veeam Software
Senior Sales Engineer - Data & AI Security
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Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
About the Role:
Veeam, following its acquisition of Securiti AI - the leader in AI-powered data security posture management (DSPM) - is seeking a Senior Sales Engineer to drive technical leadership in our sales team, focusing on the Securiti AI portfolio. You will partner with a Securiti Sales Specialist and support 3–5 Account Executives and Veeam Solution Engineers as the technical subject matter expert.
You will guide customers from needs assessment to solution design, delivering hands-on demos and proof-of-concepts to showcase value. Success in this role requires strong technical skills and the ability to build trust with clients.
What You’ll Do:
- Act as the primary technical contact for Securiti AI solutions during the sales cycle
- Lead technical discussions and deliver customized security solutions
- Address customer needs in data discovery, posture management, and compliance
- Design and present product demonstrations and proof-of-concepts
- Collaborate with product, engineering, and customer success teams to ensure smooth transitions
What You’ll Bring:
- Significant experience in pre-sales or sales engineering
- Strong understanding of data and/or cloud security
- Effective communicator with both technical and business stakeholders
- 10+ years technical sales experience in security
- 15+ years in Software/SaaS/Enterprise technical sales
- Hands-on experience with AWS, Azure, or GCP
- Knowledge of data privacy/security standards (e.g., GDPR, NIST 800-53, ISO 27001)
- Experience with DSPM frameworks, Linux, Kubernetes, or cloud data systems
- Relevant certifications (CISSP, CISM, or cloud-specific)
What You’ll Get:
Veeam offers benefits that support your whole self:
- 24 vacation days for first 2 years, increasing to 30 days after 2 years of service, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
- Private medical insurance for employees, spouses, and dependents
- Life and accident insurance coverage for added financial protection
- Free Employee Assistance Program (EAP) with up to 12 therapy sessions, plus legal and financial advice
- Life and Disability insurance with AD&D coverage equal to 3x annual salary.
- Housing allowance to help cover rental costs
- Education allowance for up to three dependent children
- Annual flight allowance for employees and their families
- Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning
Please note: If an applicant is permanently located outside of UAE, Veeam reserves the right to decline the application for this position.
#LI-AS6 #LI-REMOTE
Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.
The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.
By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.
By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.
Ready to apply?
Apply to Veeam Software
Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…
About the role ...
As a Cloud Architect Manager at Artefact, you will be responsible for designing, implementing, and overseeing robust, scalable, and secure cloud solutions that support our clients’ data and technology ecosystems. You will collaborate closely with technical teams and business stakeholders to ensure cloud architecture is aligned with business needs, optimizing tool selection, cost efficiency, and scalability. Additionally, you will lead technical teams, mentor engineers, and contribute to Artefact’s growth by driving innovation and promoting best practices in cloud technology.
What you'll be doing ...
- Lead the design and implementation of cloud infrastructure architectures (cloud, on-premise, hybrid) aligned with business requirements.
- Define and enforce best practices for cloud platform deployment and configuration, security, networking, operations and tools selection.
- Oversee the integration of cloud platforms with data pipelines, storage, and compute services.
- Standardize coding, deployment, and monitoring practices across cloud environments.
- Design and implement automated solutions to set up, monitor, and adjust cloud infrastructure efficiently.
- Lead problem-solving initiatives for complex technical challenges related to cloud environments.
- Provide technical leadership across multiple cloud projects, ensuring efficient resource management.
- Foster teamwork by mentoring, coaching and guiding cloud engineers and ensuring knowledge transfer.
- Manage client relationships regarding project expectations, timelines, and outcomes.
- Contribute to Artefact's growth by maintaining tech partnerships, leading technical proposals to support project planning and identify potential growth areas with existing accounts.
What you'll need ...
- Proven experience designing and implementing cloud architectures on Azure at scale
- Strong expertise in cloud security, networking, and compliance frameworks.
- Led the end-to-end design of highly available, secure, and cost-optimized Azure environments for enterprise customers, leveraging services such as Azure Virtual Network, Azure Kubernetes Service (AKS), and Azure App Service.
- Defined multi-region DR/HA architectures using Azure Traffic Manager, paired regions, and Azure Site Recovery, achieving RTOs under 1 hour for mission-critical workloads.
- Enable automated patching, scaling, and monitoring tasks via Azure DevOps YAML pipelines and PowerShell DSC, improving operational efficiency.
- Deep understanding of cloud cost optimization, monitoring, and high availability design patterns.
- Collaborated with data engineers to optimize architectures on Azure Data Lake Storage Gen2, Synapse, and MS Fabric
- Strong leadership capabilities with experience managing technical teams and large-scale projects.
- Excellent verbal and written communication skills, including experience creating business-focused presentations.
- Demonstrated problem-solving abilities for complex, multi-disciplinary cloud projects.
- Experience managing senior stakeholders and navigating client discussions effectively.
- Ability to mentor, coach, and develop technical teams in cloud engineering best practices.
- A track record of contributing to business growth through technical innovation and strategic initiatives.
Ready to apply?
Apply to Artefact